What we talk about when we talk about the default mode network

Callard, F. and Margulies, D. S. (2014) What we talk about when we talk about the default mode network. Frontiers in Human Neuroscience, 8, 619. (doi: 10.3389/fnhum.2014.00619) (PMID:25202250) (PMCID:PMC4142807)

Abstract

The default mode network (DMN) has been widely defined as a set of brain regions that are engaged when people are in a “resting state” (left to themselves in a scanner, with no explicit task instruction). The network emerged as a scientific object in the early twenty-first century, and in just over a decade has become the focus of intense empirical and conceptual neuroscientific inquiry. In this Perspective, we contribute to the work of critical neuroscience by providing brief reflections on the birth, working life, and future of the DMN. We consider: how the DMN emerged through the convergence of distinct lines of scientific investigation; controversies surrounding the definition, function and localization of the DMN; and the lines of interdisciplinary investigation that the DMN has helped to enable. We conclude by arguing that one of the most pressing issues in the field in 2014 is to understand how the mechanisms of thought are related to the function of brain dynamics. While the DMN has been central in allowing the field to reach this point, it is not inevitable that the DMN itself will remain at the heart of future investigations of this complex problem.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Callard, Professor Felicity
• Authors: Callard, F., and Margulies, D. S.
• College/School: College of Science and Engineering > School of Geographical and Earth Sciences
• Journal Name: Frontiers in Human Neuroscience
• Publisher: Frontiers Media
• ISSN: 1662-5161
• ISSN (Online): 1662-5161
• Copyright Holders: Copyright © 2014 Callard and Margulies
• First Published: First published in Frontiers in Human Neuroscience 8: 619
• Publisher Policy: Reproduced under a Creative Commons License